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Constructing hierarchical time series through clustering: Is there an optimal way for forecasting?

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Title: Constructing hierarchical time series through clustering: Is there an optimal way for forecasting?
Authors: Zhang, Bohan1 (AUTHOR) zhangbohan@buaa.edu.cn, Panagiotelis, Anastasios2 (AUTHOR), Li, Han3 (AUTHOR)
Source: International Journal of Forecasting. Jul2025, Vol. 41 Issue 3, p1022-1036. 15p.
Database: Business Source Ultimate
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Header DbId: bsu
DbLabel: Business Source Ultimate
An: 185682366
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Constructing hierarchical time series through clustering: Is there an optimal way for forecasting?
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Bohan%22">Zhang, Bohan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhangbohan@buaa.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Panagiotelis%2C+Anastasios%22">Panagiotelis, Anastasios</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Han%22">Li, Han</searchLink><relatesTo>3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Forecasting%22">International Journal of Forecasting</searchLink>. Jul2025, Vol. 41 Issue 3, p1022-1036. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=185682366
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.ijforecast.2024.10.002
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 1022
    Titles:
      – TitleFull: Constructing hierarchical time series through clustering: Is there an optimal way for forecasting?
        Type: main
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          Name:
            NameFull: Zhang, Bohan
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            NameFull: Panagiotelis, Anastasios
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            NameFull: Li, Han
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          Dates:
            – D: 01
              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
          Identifiers:
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              Value: 41
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              Value: 3
          Titles:
            – TitleFull: International Journal of Forecasting
              Type: main
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